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. 2022 Oct 17;1(3):133–146. doi: 10.1016/j.eehl.2022.09.002

Table 2.

Strengths and limitations of sequencing strategy in the indoor microbiome study.

Sequencing strategy Sequencing platform Sequencing statistics Strengths Limitations
Amplicon sequencing Illumina MiSeq, NextSeq Read length: 2 × 100 bp–2 × 250 bp
Sequencing depth: 30,000–100,000 reads
  • 1.

    Cheap

  • 2.

    High nucleotide sequencing accuracy

  • 3.

    Mature reference database and analyzing pipelines

  • 4.

    Require a low amount of sample and DNA

  • 1.

    Only a sub-region of the amplicon genes is sequenced, such as V1–V2, V3–V5, and V6–V9 region of the 16S ribosomal RNA

  • 2.

    Low taxonomic resolution (generally at the genus or above levels)

  • 3.

    Sequencing bias during the template annealing process in the amplification process

  • 4.

    No accurate functional inference

PacBio Sequel, Sequel II, Nanopore MinION Read length: >1500 bp
Sequencing depth: 4000–10,000 reads
  • 1.

    Long sequencing reads, enable species-level taxonomic inference

  • 2.

    Circular consensus technique can improve the nucleotide sequencing accuracy to >99.9%

1. More expansive than second-generation amplicon sequencing
2. Low sequencing depth and output (limit in detecting low-frequency variants)
3. No accurate functional inference
Shotgun metagenomics sequencing Illumina HiSeq, NovaSeq Read length: 2 × 100 bp–2 × 250 bp
Sequencing depth: 20–100 million reads
  • 1.

    Species or strain level taxonomic inference

  • 2.

    Functional inference of the whole catalog of microbial community

  • 1.

    Require a high amount and high quality of sample and DNA

  • 2.

    Long computational time require extensive computational resources to process gigabytes or even terabytes of data